Update README.md

README.md

@@ -25,141 +25,130 @@ dataset_info:
   download_size: 132297387
   dataset_size: 131572367.334
 ---
+# MathCaptcha10k
 
-# Dataset Card for Dataset Name
+## Dataset Details
 
-<!-- Provide a quick summary of the dataset. -->
+* **Curated by:** Atalay Denknalbant
+* **License:** Creative Commons Attribution 4.0 International (CC BY 4.0)
+* **Repository:** [https://huggingface.co/datasets/atalaydenknalbant/MathCaptcha10k](https://huggingface.co/datasets/atalaydenknalbant/MathCaptcha10k)
 
-This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1).
+### Dataset Description
 
-## Dataset Details
+A corpus of 10 000 synthetic arithmetic‐captcha images rendered at 200×70 px. Each image contains exactly two base-10 numbers (1–2 digits), a single `+` or `–` operator, an `=` sign and a trailing question mark (e.g. `96-41=?`). Every example in the **train** split includes:
 
-### Dataset Description
+| image                      | ocr\_text | result |
+| -------------------------- | --------- | ------ |
+| `96-41=?` *(easy example)* | "96-41=?" | 55     |
 
-<!-- Provide a longer summary of what this dataset is. -->
+…where `ocr_text` is the exact characters in the image, and `result` is the integer answer.
 
+The **test** split consists of all remaining unlabeled captchas in your `Unlabeled/` folder.
 
+---
 
-- **Curated by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
+## Examples of the Captchas
 
-### Dataset Sources [optional]
+**Easy example**
+![easy captcha](./Captcha_Images/unknown_0004cc3168ce4c65a34ff8ba25343856.png)
 
-<!-- Provide the basic links for the dataset. -->
+**Challenging example**
+![hard captcha](./Captcha_Images/unknown_00a2bfd89d814b65aee81fb1ecd9501b.png)
 
-- **Repository:** [More Information Needed]
-- **Paper [optional]:** [More Information Needed]
-- **Demo [optional]:** [More Information Needed]
+> Even state-of-the-art vision-language models often mis‐OCR the more distorted variants (see the “challenging” sample above).
+
+---
 
 ## Uses
 
-<!-- Address questions around how the dataset is intended to be used. -->
+* **Direct uses**:
 
-### Direct Use
+  * Train and evaluate OCR/vision-language models on simple arithmetic recognition.
+  * Benchmark visual math-solving capabilities.
 
-<!-- This section describes suitable use cases for the dataset. -->
+* **Out-of-scope uses**:
 
-[More Information Needed]
+  * Handwritten digit OCR.
+  * Complex mathematical notation beyond two-term arithmetic.
 
-### Out-of-Scope Use
+---
 
-<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
+## Dataset Structure
 
-[More Information Needed]
+* **Splits**
 
-## Dataset Structure
+  * `train` (10 000 labeled examples)
+  * `test` (all unlabeled `.png` files in `Unlabeled/`)
+
+* **Features**
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+  * `image` (PNG file)
+  * `ocr_text` (string, e.g. `"75-26=?"`)
+  * `result` (int, e.g. `49`)
 
-[More Information Needed]
+---
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-<!-- Motivation for the creation of this dataset. -->
-
-[More Information Needed]
+Synthetic captchas provide a controlled environment for training and benchmarking. Even top-tier vision-language methods struggle with some distortions—motivating manual QA to ensure label accuracy.
 
 ### Source Data
 
-<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
-
-#### Data Collection and Processing
-
-<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
-
-[More Information Needed]
-
-#### Who are the source data producers?
+Programmatically generated using CaptchaMvc.Mvc5’s standard arithmetic template.
 
-<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
+### Data Collection & Processing
 
-[More Information Needed]
+1. Generate 10 000 PNG captchas via CaptchaMvc.Mvc5.
+2. Run a VLM-based OCR pipeline, then manually verify and correct every label in a Streamlit QA app.
 
-### Annotations [optional]
+**Annotator:**
 
-<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
+* Atalay Denknalbant (solo)
 
-#### Annotation process
-
-<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
-
-[More Information Needed]
-
-#### Who are the annotators?
-
-<!-- This section describes the people or systems who created the annotations. -->
-
-[More Information Needed]
-
-#### Personal and Sensitive Information
-
-<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+---
 
-### Recommendations
+## Personal & Sensitive Information
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+None. Captchas contain no personal data.
 
-Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
+---
 
-## Citation [optional]
+## Bias, Risks & Limitations
 
-<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
+* Purely synthetic; may not generalize to natural or handwritten text.
+* Limited to two-term, 1–2 digit arithmetic.
 
-**BibTeX:**
+---
 
-[More Information Needed]
+## Recommendations
 
-**APA:**
+Combine with broader OCR datasets for real-world text recognition tasks.
 
-[More Information Needed]
+---
 
-## Glossary [optional]
+## Citation
 
-<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
+```bibtex
+@misc{mathcaptcha10k2025,
+  title        = {MathCaptcha10k},
+  author       = {Atalay Denknalbant},
+  year         = {2025},
+  howpublished = {\url{https://huggingface.co/datasets/atalaydenknalbant/MathCaptcha10k}},
+}
+```
 
-[More Information Needed]
+**APA**
 
-## More Information [optional]
+> Denknalbant, A. (2025). *MathCaptcha10k*. Retrieved from [https://huggingface.co/datasets/atalaydenknalbant/MathCaptcha10k](https://huggingface.co/datasets/atalaydenknalbant/MathCaptcha10k)
 
-[More Information Needed]
+---
 
-## Dataset Card Authors [optional]
+## Dataset Card Authors
 
-[More Information Needed]
+* Atalay Denknalbant
 
 ## Dataset Card Contact
 
-[More Information Needed]
+* Atalay Denknalbant (questions & feedback)